dc.contributor.author | Narasimhan, Kavin Preethi | |
dc.date.accessioned | 2017-06-12T11:52:53Z | |
dc.date.available | 2017-06-12T11:52:53Z | |
dc.date.issued | 28/10/2016 | |
dc.date.submitted | 2017-06-12T12:39:43.305Z | |
dc.identifier.citation | Narashiman, K.P. 2016. Computational Proxemics: Simulation-based analysis of the spatial patterns of conversational groups. Queen Mary University of London | en_US |
dc.identifier.uri | http://qmro.qmul.ac.uk/xmlui/handle/123456789/23843 | |
dc.description | PhD | en_US |
dc.description.abstract | In real-world conversational groups, interactants adjust their body position and orientation
relative to one another in order to see and hear clearly. We use an agent-based modelling
approach to compare alternative models for simulating the spatial patterns of conversational
groups. The models are based on simple rules that control the movement, positioning, and
orientation behaviour of individual agents, which in turn leads to the emergence of agent
clusters. We identify which model alternative produces agent clusters with characteristics
typical of real-world conversational groups.
The centroid-based approach, where agents readjust their position and orientation with
respect to the group centroid point, is a commonly used method to simulate conversational
groups, but has not been empirically validated. This thesis replicates, evaluates, and validates
the centroid-based model in a systematic way. Another model, where agents perform
positional-orientational readjustments to see as many neighbours as possible within a 180
field of view, called the field-of-view approach is proposed, implemented, evaluated, and
validated.
Analysis of the spatial patterns of conversational groups has hitherto mostly relied on
visual verification. We, novelly, use a combination of qualitative and quantitative methods
to analyse the spatial patterns of conversational groups. Evaluations show that the field of-
view model and centroid-based model produce agent clusters with significantly different
social, spatial, and temporal characteristics.
Validation is performed using a dataset which captures the spatial behaviour of 21 participants
for the entire duration of a party. This validation shows that the characteristics of
agent clusters resulting from the field-of-view model most closely reflects the characteristics
of real-world conversational groups. We also show that a local neighbourhood influence
works better than an extended neighbourhood influence to simulate conversational groups.
The influence of objects in the environment on the spatial patterns of agent clusters are also
discussed. | en_US |
dc.description.sponsorship | Queen Mary University of London CollegeDoctoral Training Account award and the Rabin Ezra Scholarship Award. | |
dc.language.iso | en | en_US |
dc.publisher | Queen Mary University of London | |
dc.subject | Engineering and Materials Science | en_US |
dc.subject | Light-addressable potentiometric sensors | en_US |
dc.subject | self-assembled organic monolayers | en_US |
dc.title | Computational Proxemics: Simulation-based analysis of the spatial patterns of conversational groups | en_US |
dc.type | Thesis | en_US |
dc.rights.holder | The copyright of this thesis rests with the author and no quotation from it or information derived from it may be published without the prior written consent of the author | |